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Computed Tomography I Basic principles Geometry and historical development

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Computed Tomography I

Basic principles

Geometry and historical development

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Basic principles

• Mathematical principles of CT were first developed in 1917 by Radon

• Proved that an image of an unknown object could be produced if one had an infinite number of projections through the object

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Basic principles (cont.)

• Plain film imaging reduces the 3D patient anatomy to a 2D projection image

• Density at a given point on an image represents the x-ray attenuation properties within the patient along a line between the x-ray focal spot and the point on the detector corresponding to the point on the image

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Basic principles (cont.)

• With a conventional radiograph, information with respect to the dimension parallel to the x-ray beam is lost

• Limitation can be overcome, to some degree, by acquiring two images at an angle of 90 degrees to one another

• For objects that can be identified in both images, the two films provide location information

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Tomographic images

• The tomographic image is a picture of a slab of the patient’s anatomy

• The 2D CT image corresponds to a 3D section of the patient

• CT slice thickness is very thin (1 to 10 mm) and is approximately uniform

• The 2D array of pixels in the CT image corresponds to an equal number of 3D voxels (volume elements) in the patient

• Each pixel on the CT image displays the average x-ray attenuation properties of the tissue in the corrsponding voxel

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Tomographic acquisition

• Single transmission measurement through the patient made by a single detector at a given moment in time is called a ray

• A series of rays that pass through the patient at the same orientation is called a projection or view

• Two projection geometries have been used in CT imaging:– Parallel beam geometry with all rays in a projection

parallel to one another– Fan beam geometry, in which the rays at a given

projection angle diverge

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Acquisition (cont.)

• Purpose of CT scanner hardware is to acquire a large number of transmission measurements through the patient at different positions

• Single CT image may involve approximately 800 rays taken at 1,000 different projection angles

• Before the acquisition of the next slice, the table that the patient lies on is moved slightly in the cranial-caudal direction (the “z-axis” of the scanner)

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Tomographic reconstruction

• Each ray acquired in CT is a transmission measurement through the patient along a line

• The unattenuated intensity of the x-ray beam is also measured during the scan by a reference detector

t)I/Iln(

II

t0

t0t

µ

µ

== −e

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Reconstruction (cont.)

• There are numerous reconstruction algorithms• Filtered backprojection reconstruction is most

widely used in clinical CT scanners• Builds up the CT image by essentially reversing

the acquistion steps• The µ value for each ray is smeared along this

same path in the image of the patient• As data from a large number of rays are

backprojected onto the image matrix, areas of high attenutation tend to reinforce one another, as do areas of low attenuation, building up the image

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1st generation: rotate/translate, pencil beam

• Only 2 x-ray detectors used (two different slices)• Parallel ray geometry

• Translated linearly to acquire 160 rays across a 24 cm FOV

• Rotated slightly between translations to acquire 180 projections at 1-degree intervals

• About 4.5 minutes/scan with 1.5 minutes to reconstruct slice

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1st generation (cont.)

• Large change in signal due to increased x-ray flux outside of head– Solved by pressing patient’s head into a flexible

membrane surrounded by a water bath

• NaI detector signal decayed slowly, affecting measurements made temporally too close together

• Pencil beam geometry allowed very efficient scatter reduction, best of all scanner generations

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2nd generation: rotate/translate, narrow fan beam

• Incorporated linear array of 30 detectors

• More data acquired to improve image quality (600 rays x 540 views)

• Shortest scan time was 18 seconds/slice

• Narrow fan beam allows more scattered radiation to be detected

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3rd generation: rotate/rotate, wide fan beam

• Number of detectors increased substantially (to more than 800 detectors)

• Angle of fan beam increased to cover entire patient– Eliminated need for translational motion

• Mechanically joined x-ray tube and detector array rotate together

• Newer systems have scan times of ½ second

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Ring artifacts

• The rotate/rotate geometry of 3rd generation scanners leads to a situation in which each detector is responsible for the data corresponding to a ring in the image

• Drift in the signal levels of the detectors over time affects the µt values that are backprojected to produce the CT image, causing ring artifacts

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4th generation: rotate/stationary

• Designed to overcome the problem of ring artifacts

• Stationary ring of about 4,800 detectors

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3rd vs. 4th generation

• 3rd generation fan beam geometry has the x-ray tube as the apex of the fan; 4th generation has the individual detector as the apex

t)I/Iln( :gen 4

t)I/Iln( :gen 3

t0th

t201rd

µµ

=

=

gg

gg

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5th generation: stationary/stationary

• Developed specifically for cardiac tomographic imaging

• No conventional x-ray tube; large arc of tungsten encircles patient and lies directly opposite to the detector ring

• Electron beam steered around the patient to strike the annular tungsten target

• Capable of 50-msec scan times; can produce fast-frame-rate CT movies of the beating heart

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6th generation: helical

• Helical CT scanners acquire data while the table is moving

• By avoiding the time required to translate the patient table, the total scan time required to image the patient can be much shorter

• Allows the use of less contrast agent and increases patient throughput

• In some instances the entire scan be done within a single breath-hold of the patient

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7th generation: multiple detector array

• When using multiple detector arrays, the collimator spacing is wider and more of the x-rays that are produced by the tube are used in producing image data– Opening up the collimator in a single array scanner

increases the slice thickness, reducing spatial resolution in the slice thickness dimension

– With multiple detector array scanners, slice thickness is determined by detector size, not by the collimator

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